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Weekend Data Engineer Jobs in Irving, TX (NOW HIRING)

Charles Schwab Inc.

Data Engineer

Southlake, TX · On-site

$52.88 - $59.62/hr

Schwab is seeking a results-oriented Senior Data Engineering to join the Operational Data Exchange (ODX) Technology team within Schwab Data. This team plays a critical role in delivering operational ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Duration: 8+ months Location: Dallas,TX (Hybrid) Skill set: Java, Hyve, Hbase, API, Spark (Data Engineer) * You have 8-10 years of relevant software development experience * You have ...

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital Transformation team, supporting Construction Operations and corporate functions through reliable data ...

Smile Doctors

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Sr. Data Engineer is responsible for designing, building and scaling our enterprise data platform. This position will also develop reliable, high-quality data pipelines and curated data models ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

QTech US Inc

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using ...

Tata Consultancy Service Limited

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

Minimum 8+ years Roles & Responsibilities • Ensure that the design and engineering approach for complex data solutions is consistent across multiple flows and systems. • Conduct research, designs ...

Staffingine LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Job Location: Dallas, TX Job Type: Contract * This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions ...

Programmers.io

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy. · Drive data ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA - Additional locations Frisco/Atlanta/Overland Park* Work schedule details: onsite Key Responsibilities:

PROLIM Global Corporation

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

PROLIM Global Corporation is hiring a Data Engineer for one of our top clients. Location: Plano, TX - Onsite Duration: 6 Months Job Type: Contract Experience Required: 8-10 Years Job Summary We are ...

New

Tata Consultancy Service Limited

Data Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position ...

Charles Schwab

Data Engineer

Austin, TX

$113K - $136K/yr

Schwab is seeking a results-oriented Senior Data Engineering to join the Operational Data Exchange (ODX) Technology team within Schwab Data. This team plays a critical role in delivering operational ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Kimley-Horn

Data Engineer

Dallas, TX

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

They are seeking a passionate Data Engineer to build scalable data platforms and optimize large-scale data pipelines, collaborating closely with Data Scientists and Analysts to enable data-driven ...

APN Consulting, Inc.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer to work with Snowflake cloud data platform and build data warehouse solutions, requiring a strong background in data processing and pipeline development.

MPOWERHealth

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data ...

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Showing results 41-60

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Irving, TX

Weekend Data Engineer information

See Irving, TX salary details

$42.7K

$124.6K

$170.4K

How much do weekend data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data engineer in Irving, TX is $124,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Irving, TX?

The most popular types of Data Engineer jobs in Irving, TX are:

What are popular job titles related to Weekend Data Engineer jobs in Irving, TX?

For Weekend Data Engineer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Irving, TX look for?

The top searched job categories for Weekend Data Engineer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Weekend Data Engineer jobs?

Cities near Irving, TX with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you

Data Engineer

Charles Schwab Inc.

Southlake, TX • On-site

$52.88 - $59.62/hr

Full-time

Re-posted 19 days ago

Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab is seeking a results-oriented Senior Data Engineering to join the Operational Data Exchange (ODX) Technology team within Schwab Data. This team plays a critical role in delivering operational intelligence and enterprise data solutions that support key business functions across Schwab primarily supporting Schwab Technology Services (STS).
In this role, you will help advance Schwab's transformation into a data-driven organization by developing scalable, high-performing data solutions on a modern cloud-based data platform. You will partner closely with engineers, technical leads, analysts, and business stakeholders to design, build, and optimize data pipelines that deliver trusted, actionable insights across the enterprise. Your work will directly contribute to improving system stability, accelerating time to market, enabling operational efficiency, and supporting informed business decision-making.
As a hands-on data engineering professional, you will leverage cloud technologies, data integration tools, and software engineering best practices to create reliable end-to-end data solutions. You will contribute throughout the development lifecycle, from analyzing business requirements and translating them into technical designs to implementing data quality controls, supporting production deployments, and driving continuous improvement initiatives. Success in this role requires strong problem-solving skills, adaptability, collaboration across global teams, and the ability to influence outcomes through data-driven recommendations.
This is an excellent opportunity for a technology professional who thrives in a structured, fast-paced environment, embraces innovation, and is passionate about building modern data capabilities that help transform both the client and employee experience.
What you have
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related technical field; Master's degree preferred.
  • 3+ years of data engineering, ETL development, or data integration experience.
  • 3+ years of experience designing, developing, and supporting enterprise data pipelines.
  • Strong experience with SQL and relational database technologies.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, Composer, and Pub/Sub.
  • Python development experience for data engineering and automation solutions.
  • Experience developing and supporting ETL processes and enterprise data integration solutions, including Informatica Intelligent Cloud Services (IICS).
  • Experience implementing data quality, validation, exception handling, and data governance best practices.
  • Experience gathering, analyzing, and translating business requirements into technical solutions and source-to-target data mappings.
  • Ability to design and optimize solutions for processing large volumes of structured and unstructured data.
  • Experience working within Agile software development environments.
  • Strong problem-solving, analytical, and decision-making skills.
  • Demonstrated ability to collaborate effectively with cross-functional teams and communicate technical concepts to diverse audiences.
  • Ability to mentor junior team members and contribute to team success.
  • Commitment to continuous learning and adoption of emerging technologies.

Preferred Qualifications
  • Experience supporting enterprise platforms such as Workday, BMC Remedy Helix, Jira, Rally, or similar business systems.
  • Experience with DevOps and software delivery tools including GitHub, Bamboo, and Liquibase.
  • Strong understanding of data architecture principles, development standards, and engineering best practices.
  • Experience creating and maintaining source-to-target mapping documentation.
  • Ability to identify operational challenges, recommend solutions, and drive process improvements.
  • Strong written and verbal communication skills, including technical documentation.
  • Experience working within highly collaborative, fast-paced, and evolving technology organizations.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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